Senior AdTech and Digital Marketing

Zohorecruit

United Arab Emirates

Remote

AED 350,000 - 480,000

Full time

14 days+
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Job summary

Techsa is seeking a Senior AdTech and Digital Marketing professional to lead ownership of key areas within our technology and data platform. You will drive audience activation across digital and omnichannel channels and shape how audiences are packaged and made usable by advertisers.

You will collaborate with engineering, product, data, design, and business stakeholders to translate requirements into scalable solutions, ensure production readiness, and address risks related to performance, data

Qualifications

  • 7+ years of relevant professional experience.
  • Digital marketing, adtech, or audience activation.
  • Hands-on running campaigns across major digital platforms.
  • Onboarding, audience syncs, identifiers, and match rate economics.
  • Omnichannel orchestration with CRM and direct channels.
  • Consent, identity, and the shift away from third-party identifiers.

Responsibilities

  • Own and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.
  • Work closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.
  • Apply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.
  • Contribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.
  • Identify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.
  • Collaborate across teams to ensure solutions integrate effectively with existing systems and platform components.

Skills

Audience activation
Omnichannel
First party data
Attribution
Campaign management
DSP/SSP knowledge

Job description

We are looking for a Senior AdTech and Digital Marketing to join our team and take ownership of key areas within our technology and data platform. Owns audience activation across digital and omnichannel, how audiences are packaged and made usable by advertisers, and how performance is measured back into the data model.

Key Responsibilities

  • Own and deliver solutions within the scope of the role, from requirements and technical/design decisions through implementation and continuous improvement.
  • Work closely with engineering, product, data, design, and business stakeholders to translate requirements into practical, scalable solutions.
  • Apply strong engineering and/or domain expertise to build reliable, maintainable, and production-ready capabilities.
  • Contribute to architecture, standards, documentation, quality, and technical decision-making appropriate to the role.
  • Identify performance, scalability, data quality, usability, reliability, or operational risks and address them proactively.
  • Collaborate across teams to ensure solutions integrate effectively with existing systems and platform components.
Requirements
  • Experience: 7+ years of relevant professional experience.
  • Strong hands-on experience with: Digital and omnichannel activation, first party data activation, audience onboarding and syncs, audience taxonomy, match rates, attribution and incrementality.
  • Digital marketing, adtech, or audience activation on the brand, agency, publisher, or platform side.
  • Hands on running campaigns across major digital and audience platforms, including custom and matched audience uploads.
  • Activating first party data: onboarding, audience syncs, identifiers, and match rate economics.
  • Omnichannel orchestration, coordinating digital with CRM and direct channels.
  • Attribution, test and control design, and incrementality.
  • Working knowledge of consent, identity, and the shift away from third party identifiers.

Domain Requirement:

  • Telco or Banking is a plus
Preferred Qualifications
  • DSP or SSP hands on experience and OpenRTB mechanics.
  • IAB Tech Lab audience taxonomy and seller defined audiences.
  • Data monetization or audience selling.
  • Data collaboration and privacy preserving audience matching.
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